Author

Harsh Shrivastava

Georgia Institute of TechnologyORCID 0000-0002-8366-6355Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Le SongiD· 1 shared Srinivas AluruiD· 1 shared Xiuwei ZhangiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Le SongORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 2, 2023

Reconstruction of Gene Regulatory Networks using sparse graph recovery models

Harsh Shrivastava

This paper explores the application of sparse graph recovery models to reconstruct Gene Regulatory Networks from gene expression data.

2 citations

bulk RNA-seqscRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 23, 2020

GRNUlar: Gene Regulatory Network reconstruction using Unrolled algorithm from Single Cell RNA-Sequencing data

Harsh Shrivastava, Xiuwei Zhang, Srinivas Aluru, Le Song

GRNUlar infers gene regulatory networks from scRNA-Seq data using unrolled deep learning, outperforming existing methods with and without TF information.

7 citations

scRNA-seqdeep learning

𝕏 PostBluesky